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How can we explain the predictions of a black-box model? In this paper, we use Influence functions Understanding Black-box Predictions via Influence Functions

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  • ... the the
  • A talk given during the Principles of Intelligence (PIBBSS) workshop in Boston in October 2025.
  • The first presentation of a reading group on data attribution. This presentation covers several representative works on
  • Abstract: In robot imitation learning, policies are trained to match the behavior distribution of demonstrations, not to maximize ...

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